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2024-11-15 10:46:20 -08:00
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@@ -20,16 +20,24 @@ cd ComfyUI/custom_nodes
git clone https://github.com/1038lab/ComfyUI-RMBG
```
2. Download RMBG model:
2. Manually Download RMBG model:
- Download from [RMBG-2.0](https://huggingface.co/briaai/RMBG-2.0)
- Place the [RMBG-2.0 model](https://huggingface.co/briaai/RMBG-2.0/tree/main) files in `ComfyUI/models/RMBG/RMBG-2.0/` directory
## Usage
![RMBG](https://github.com/user-attachments/assets/cd0eb92e-8f2e-4ae4-95f1-899a6d83cab6)
### Optional Settings :bulb: Tips
| Optional Settings | :memo: Description | :bulb: Tips |
|----------------------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|
| **Sensitivity** | Adjusts the strength of mask detection. Higher values result in stricter detection. | Default value is 0.5. Adjust based on image complexity; more complex images may require higher sensitivity. |
| **Processing Resolution** | Controls the processing resolution of the input image, affecting detail and memory usage. | Choose a value between 256 and 2048, with a default of 1024. Higher resolutions provide better detail but increase memory consumption. |
| **Mask Blur** | Controls the amount of blur applied to the mask edges, reducing jaggedness. | Default value is 0. Try setting it between 1 and 5 for smoother edge effects. |
| **Mask Offset** | Allows for expanding or shrinking the mask boundary. Positive values expand the boundary, while negative values shrink it. | Default value is 0. Adjust based on the specific image, typically fine-tuning between -10 and 10. |
| **Performance Optimization** | Properly setting options can enhance performance when processing multiple images. | If memory allows, consider increasing `process_res` and `mask_blur` values for better results, but be mindful of memory usage. |
### Basic Usage
1. Load `🧽 RMBG (Remove Background)` node from the `🧪AILab/🧽RMBG` category
1. Load `RMBG (Remove Background)` node from the `🧪AILab/🧽RMBG` category
2. Connect an image to the input
3. Get two outputs:
- IMAGE: Processed image with transparent background